Postdoctoral Fellow and Researcher Positions in Signal Processing and Autonomous Networks
King Abdullah University of Science and Technology School of Statistics, Parallel Computing, Programming Languages, Software En
Saudi Arabia

Title: Postdoctoral Fellow and Researcher Positions in Signal Processing and Autonomous Networks
Employer: King Abdullah University of Science and Technology (KAUST)
Job location: King Abdullah University of Science and Technology, Thuwal
Published: April 11, 2019
Application deadline: Unspecified
Job types: Postdoc, Researcher
Fields:  Statistics, Parallel Computing, Programming Languages, Software Engineering, Electrical Engineering, Computational Mathematics and Stochastics




King Abdullah University of Science and Technology (KAUST) is an international graduate-level, merit-based research university dedicated to advancing scientific and technological education and research, acting as a catalyst for innovation, economic development and social prosperity in the region and the world. Our research strives to enhance the welfare of society with a special focus on four areas of global significance – food, water, energy and the environment. Based near Jeddah, Saudi Arabia, KAUST has attracted top-notch faculty and staff from all over the world, with more than 100 nations represented on campus.

The Signal Processing and Autonomous Networks (SPAN) laboratory at KAUST is looking to fill up to 4 postdoctoral and/or research scientist positions. The overall research agenda is based on data science, optimization theory and algorithms, and control. There is opportunity to select projects that are theory oriented, experimental/software-focused, or a combination of both.

Theoretical investigations include but are not limited to the following topics:

Distributed optimization with a focus on stochastic and non-convex problems
Kalman filtering, nonlinear filtering, and high-dimensional statistics
Optimal sensor placement and reinforcement learning
Graph signal processing and topology learning
Experimental focus includes the following aspects:

Practical implementation of optimization algorithms: distributed and parallel training and learning of machine learning models on multiple cores/GPUs
AI-based learning and control of single robot and teams of robots
Multi-UAV and ground robot localization, navigation, and control
This is an excellent opportunity to build an independent research portfolio necessary for top academic or industrial positions. The contract duration is for one year with potential to extend. There will be an extensive flexibility to travel, attend conferences, and give professional seminars/talks.

At KAUST, we attract people from all around the world who want to create impact beyond their own achievements. Irrespective of their national origins, the people of KAUST are "people of the world" who uphold our values of achievement, passion, inspiration, citizenship, diversity, integrity, and openness. Located on the beautiful Red Sea coast of Saudi Arabia, KAUST sets exceptional standards in residences, recreational facilities and boasts a truly multicultural community environment which can be enjoyed by all, along with ample opportunities and time to keep work and life in harmony. Expats are very well looked after, with packages including competitive salaries, relocation assistance, accommodation and various additional incentives.


Successful candidate must

hold a Ph.D. in signal processing, machine learning, control theory, or in a related area,
be highly motivated and able to pose/investigate research problems independently,
have an established track-record of publications at top academic venues,
be strong in Python and/or related programming language(s) with experience or exposure to PyTorch, TensorFlow, and Deep Learning.
Application Instructions
The positions are available from July 2019 and will remain open until filled.

For more information, please contact

Usman Khan, Ph.D.

Associate Professor, Electrical Engineering

Director, Signal Processing and Autonomous Networks lab

Google Scholar:


To Apply: Submit a detailed CV, cover letter, 2 pages of research statement, one page of teaching statement, and two sample publications to

If you apply for this position please say you saw it on Computeroxy


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